Advanced Search Engineer

24 hours ago

Lucknow, Uttar Pradesh, India beBeeSearch Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Search Solutions Architect

We're seeking a seasoned Search Solutions Architect to lead our data engine. As a key member, you'll be responsible for designing and implementing search solutions using OpenSearch/Elasticsearch.

Responsibilities:

  • Create advanced search features using custom analysers, tokenisers, and scoring algorithms.
  • Manage index templates, mappings, and lifecycle policies for data integrity, performance, and scalability.
  • Develop custom query builders and search pipelines tailored to complex business requirements.
  • Leverage AI/ML/LLM for data enrichment and improved search relevance.
  • Build robust, scalable APIs for search using Python (FastAPI).
  • Lead integration, regression, and performance testing for search feature reliability and accuracy.
  • Automate deployment and management of search infrastructure, including index templates and search pipelines.
  • Collaborate with data engineers and product teams to deliver high-quality search experiences.

Requirements:

  • 5+ years experience with Elasticsearch or OpenSearch in production environments.
  • Experience with AI/LLM-based search experiences such as RAG, learning to rank, and query understanding.
  • Expert level expertise in Python, with experience building APIs (preferably FastAPI).
  • Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL.
  • Experience with index template management, lifecycle policies, and large-scale data modelling.
  • Proficiency in designing and optimising search pipelines and custom query builders.
  • Hands-on experience developing software using AI-assisted tools and workflows like Cursor, Co-pilot, and Windsurf.
  • Strong background in integration, regression, and performance testing.
  • DevOps skills: automation, CI/CD, and cloud infrastructure (AWS preferred).
  • Excellent communication and collaboration skills.
  • Experience with S3, AWS Lambda, and cloud-native architectures.

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